Zoltan Gal

Head

University of Debrecen

Hungary

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Dr. Zoltan Gal is the Head at the University of Debrecen, Hungary. His research primarily focuses on the integration of artificial intelligence with communication technologies, particularly in the context of B5G and 6G applications. His recent articles explore topics such as reinforcement learning, swarm intelligence, and advanced data analysis methods in various domains, including wireless sensor networks and ancient Greek literary texts.

Zoltan Gal

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Articles (15)

Synergic Impact of Reinforcement Learning and Swarm Intelligence in Wireless Sensor Network Services

Markov Modelling and Cluster-Based Analysis of Transport Layer Traffic Using Quick User Datagram Protocol Internet Connections

Integrating Reinforcement Learning into M/M/1/K Retry Queueing Models for 6G Applications

AI-driven insights into B5G/6G MAC mechanisms: A comprehensive analysis

Advanced Trajectory Analysis of NASA’s Juno Mission Using Unsupervised Machine Learning: Insights into Jupiter’s Orbital Dynamics

Deep Learning-Based Analysis of Ancient Greek Literary Texts in English Version: A Statistical Model Based on Word Frequency and Noise Probability for the Classification of Texts

Optimizing Text Clustering Efficiency through Flexible Latent Dirichlet Allocation Method: Exploring the Impact of Data Features and Threshold Modification

Decomposition Based Congestion Analysis of the Communication in B5G/6G TeraHertz High-Speed Networks

On the patterns of the nonstationary datagram based fast communication processes

Three level benchmarking of Singularity containers for scientific calculations

Recurrent neural network variants based model for Cassini-Huygens spacecraft trajectory modifications recognition

Cassini-Huygens mission images classification framework by deep learning advanced approach

Deep Learning-Based Approach for Detecting Trajectory Modifications of Cassini-Huygens Spacecraft

Multi dimensional analysis of sensor communication processes<sup>∗</sup>

Performance evaluation of massively parallel and high speed connectionless vs. connection oriented communication sessions

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Tibor Tajti

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